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Background Primary biliary cholangitis (PBC), autoimmune hepatitis (AIH) and primary sclerosing cholangitis (PSC) are autoimmune liver diseases associated with distinct autoantibodies. Diagnosis is based upon clinical, serological, and histopathology findings. The role of autoantibodies in the diagnosis of these autoimmune liver diseases, with the focus on PBC and AIH, will be discussed. Content When AIH or PBC is suspected, testing for multiple autoantibodies can be requested. In this mini-review, the different ways in which autoantibodies can be tested (indirect immunofluorescence and antigen-specific tests) in the context of PBC and AIH are discussed, as well as the pitfalls in interpreting the test results. Summary For appropriate interpretation of test results, an important prerequisite is that the doctor knows which test is used in the laboratory of choice and that the laboratory specialist is aware of what the doctor wants to test for. Good communication between clinician and laboratory specialist can, therefore, aid in the diagnosis of autoimmune liver diseases.

PurposeIndirect immunofluorescence (IIF) on the human epithelial cell-line HEp-2 (or derivatives) serves as the gold standard in antinuclear antibody (ANA) screening. IIF, and its evaluation, is a labor-intensive method, making ANA testing a major challenge for present clinical laboratories. Nowadays, several automated ANA pattern recognition systems are on the market. In the current study, the EUROPattern Suite is evaluated for its use in daily practice in a routine setting.MethodsA total of 1033 consecutive routine samples was used to screen for ANA. Results (positive/negative ANA screening, pattern identification and titer) were compared between software-generated results (EUROPattern) and visual interpretation (observer) of automatically acquired digital images.ResultsConsidering the visual interpretation as reference, a relative sensitivity of 99.3% and a relative specificity of 88.9% were obtained for negative and positive discrimination by the software (EPa). A good agreement between visual and software-based interpretation was observed with respect to pattern recognition (mean kappa: for 7 patterns: 0.7). Interestingly, EPa software distinguished more patterns per positive sample than the observer (on average 1.5 and 1.2, respectively). Finally, a concordance of 99.3% was observed within the range of 1 titer step difference between EPa and observer.ConclusionsThe ANA IIF results reported by the EPa software are in very good agreement with the results reported by the observer with respect to being negative/positive, pattern recognition and titer, making automated ANA IIF evaluation an objective and time-efficient tool for routine testing.

ObjectivesTo understand the molecular features distinguishing anti-citrullinated protein antibodies (ACPA) from ‘conventional’ antibodies in rheumatoid arthritis (RA).MethodsSerum of ACPA-positive RA patients was fractionated by size exclusion chromatography and analysed for the presence of ACPA-IgG by ELISA. ACPA-IgG and non-citrulline-specific IgG were affinity purified from serum, plasma and/or synovial fluid and analysed by gel electrophoresis. Electrophoresis bands were excised, enzymatically digested and analysed by mass spectrometry. Binding affinity to citrullinated antigens was measured by ELISA and imaging surface plasmon resonance using recombinant monoclonal ACPA with molecular modifications.ResultsIn all donor samples studied (n=24), ACPA-IgG exhibited a 10–20 kDa higher molecular weight compared with non-autoreactive IgG. This feature also distinguished ACPA-IgG from antibodies against recall antigens or other disease-specific autoantibodies. Structural analysis revealed that a high frequency of N-glycans in the (hyper)variable domains of ACPA is responsible for this observation. In line with their localisation, these N-glycans were found to modulate binding avidity of ACPA to citrullinated antigens.ConclusionsThe vast majority of ACPA-IgG harbour N-glycans in their variable domains. As N-linked glycosylation requires glycosylation consensus sites in the protein sequence and as these are lacking in the ‘germline-counterparts’ of identified variable domains, our data indicate that the N-glycosylation sites in ACPA variable domains have been introduced by somatic hypermutation. This finding also suggests that ACPA-hyperglycosylation confers a selective advantage to ACPA-producing B cells. This unique and completely novel feature of the citrulline-specific immune response in RA elucidates our understanding of the underlying B cell response.